Author: Frank Wilcoxon
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 74

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Author: Harman Leon Harter
Publisher: American Mathematical Soc.
ISBN: 9780821819012
Category : Mathematics
Languages : en
Pages : 416

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Tables of the cumulative non-central chi-square distribution. Tables of the exact sampling distribution of the two-sample. Critical value and probability levels for the wilcoxon rank sum test and wilcoxon. The null distribution of the first three product-moment statistics for exponential, half-gamma, and normal scores. Tables to facilitate the use of orthogonal polynomials for two types of error structures.

Author: John White
Publisher: Nelson Thornes
ISBN: 9780859504621
Category : Mathematics
Languages : en
Pages : 92

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Author: Donna L. Mohr
Publisher: Academic Press
ISBN: 0323899889
Category : Mathematics
Languages : en
Pages : 784

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Book Description
Statistical Methods, Fourth Edition, is designed to introduce students to a wide-range of popular and practical statistical techniques. Requiring a minimum of advanced mathematics, it is suitable for undergraduates in statistics, or graduate students in the physical, life, and social sciences. By providing an overview of statistical reasoning, this text equips readers with the insight needed to summarize data, recognize good experimental designs, implement appropriate analyses, and arrive at sound interpretations of statistical results. Includes extensive case studies and exercises drawn from a variety of disciplines Provides practice problems for each chapter with complete solutions Offers new and updated data sets available online Includes recommended data analysis projects with accompanying data sets

Author: David J. Sheskin
Publisher: CRC Press
ISBN: 1439858047
Category : Education
Languages : en
Pages : 1927

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Book Description
Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures.New in the Fifth Edition:Substantial updates and new material th

Author: Rudolf J. Freund
Publisher: Elsevier
ISBN: 0080498221
Category : Mathematics
Languages : en
Pages : 694

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Book Description
This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection. * Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions * Examples contain graphical illustration for ease of interpretation * Intended for use with almost any statistical software * Examples are worked to a logical conclusion, including interpretation of results * A complete Instructor's Manual is available to adopters

Author: Fred Pyrczak
Publisher: Routledge
ISBN: 135196805X
Category : Psychology
Languages : en
Pages : 432

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Book Description
• This comprehensive text covers all the traditional topics in a first-semester course. • Divided into 67 short sections, this book makes the topics easy to digest. Students regularly get positive reinforcement as they check their mastery with exercises at the end of each section. • Each exercise is based on a humorous riddle. If the answer to a riddle makes sense, students know all their answers for that exercise are correct. If not, they know they need to check their answers. • Short sections make it easy to customize your course by assigning only those sections needed to fulfill your objectives. • A comprehensive basic math review at the end of this book may be used to help students whose math skills are rusty. • Thoroughly field-tested for student interest and comprehension. The short sections and humor-based, self-checking riddles are greatly appreciated by students. • Contains Part D on effect size, which provides technical solutions to issues raised in Part C (such as the limitations of inferential statistics). New to this edition: Section 1: Explains the importance of statistical techniques in the advancement of scientific knowledge. Section 11: Provides practice with the summation operation before using it in multiple statistical tests. Section 27: This section on z-scores explains how to translate a percentile rank into a raw score. Section 30: Underlines the importance of figural representations of data, explains how to identify the most appropriate figure, and discusses how to label figures effectively. Section 41: Provides a deeper understanding of the relationship between p-values and critical values in a statistical test. Appendix J: A summary table of all statistical equations and guidelines for choosing a particular statistical test. Table 1: The format and discussion for the Table of the Normal Curve has been changed to a more conventional presentation of this statistical tool.

Author: David J. Sheskin
Publisher: CRC Press
ISBN: 1420036262
Category : Mathematics
Languages : en
Pages : 1228

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Book Description
Called the "bible of applied statistics," the first two editions of the Handbook of Parametric and Nonparametric Statistical Procedures were unsurpassed in accessibility, practicality, and scope. Now author David Sheskin has gone several steps further and added even more tests, more examples, and more background information-more than 200 pages of n

Author: Jerome L. Myers
Publisher: Routledge
ISBN: 1135811636
Category : Psychology
Languages : en
Pages : 821

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Book Description
Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book’s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emphasis is placed on the underlying logic and assumptions of the analysis and what it tells the researcher, the limitations of the analysis, and the consequences of violating assumptions. Sampling, design efficiency, and statistical models are emphasized throughout. As per APA recommendations, emphasis is also placed on data exploration, effect size measures, confidence intervals, and using power analyses to determine sample size. "Real-world" data sets are used to illustrate data exploration, analysis, and interpretation. The book offers a rare blend of the underlying statistical assumptions, the consequences of their violations, and practical advice on dealing with them. Changes in the New Edition: Each section of the book concludes with a chapter that provides an integrated example of how to apply the concepts and procedures covered in the chapters of the section. In addition, the advantages and disadvantages of alternative designs are discussed. A new chapter (1) reviews the major steps in planning and executing a study, and the implications of those decisions for subsequent analyses and interpretations. A new chapter (13) compares experimental designs to reinforce the connection between design and analysis and to help readers achieve the most efficient research study. A new chapter (27) on common errors in data analysis and interpretation. Increased emphasis on power analyses to determine sample size using the G*Power 3 program. Many new data sets and problems. More examples of the use of SPSS (PASW) Version 17, although the analyses exemplified are readily carried out by any of the major statistical software packages. A companion website with the data used in the text and the exercises in SPSS and Excel formats; SPSS syntax files for performing analyses; extra material on logistic and multiple regression; technical notes that develop some of the formulas; and a solutions manual and the text figures and tables for instructors only. Part 1 reviews research planning, data exploration, and basic concepts in statistics including sampling, hypothesis testing, measures of effect size, estimators, and confidence intervals. Part 2 presents between-subject designs. The statistical models underlying the analysis of variance for these designs are emphasized, along with the role of expected mean squares in estimating effects of variables, the interpretation of nteractions, and procedures for testing contrasts and controlling error rates. Part 3 focuses on repeated-measures designs and considers the advantages and disadvantages of different mixed designs. Part 4 presents detailed coverage of correlation and bivariate and multiple regression with emphasis on interpretation and common errors, and discusses the usefulness and limitations of these procedures as tools for prediction and for developing theory. This is one of the few books with coverage sufficient for a 2-semester course sequence in experimental design and statistics as taught in psychology, education, and other behavioral, social, and health sciences. Incorporating the analyses of both experimental and observational data provides continuity of concepts and notation. Prerequisites include courses on basic research methods and statistics. The book is also an excellent resource for practicing researchers.

Author: Frank Freese
Publisher:
ISBN:
Category : Forestry engineers
Languages : en
Pages : 96

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